Big Data Services

The term Big Data refers to the volume and complexity of data. With structured, semi-structured and unstructured data, it becomes clear that companies have no longer just a problem with larger amounts of data, but also the variety. Data is generated at high-speed and collected at various intervals, which makes them valuable, but also complex to analyze.

ExistBI is able to address the continuous growing demand for Big Data Consulting and Analytics. This concept of data analysis and deriving useful information from large volumes of data that is rapidly being generated in modern business – from conventional database systems to unstructured data gathered from location and sensor sources and social networks.

As a leading Big Data service provider, our Big Data and Hadoop consultants are required for successful preparation, design, development and implementation of Big Data Processing and Analytics systems based on standard platforms. We offer two specific service packages, described in more detail below:

Big Data Assessment:

Would you like to start your first Big Data initiative, but you are not sure what to do and how to create value for your organization? You don’t have a clear picture of investment and resources you need to secure and what benefits you can expect? You would like to protect your existing investment in IT infrastructure? Our unique Big Data Assessment is carried out by an experienced Data Scientist, based on our Information in Action methodology, will help you to move in the right direction fast and efficient, by identifying most lucrative use cases for your business and optimal architecture, technologies and models of implementation, where you will be able to find and use the hidden value of your data in shortest possible timeframe.

Big Data Implementation and Development:

Are you faced with a lack of resources for your Big Data implementation? Do you need more Data Scientists, Hadoop consultants or Hadoop developers? We have a pool of experts experienced in different areas of Big Data implementations, ranging from MapReduce and Pig scripting, data streaming and collection with Apache Nutch and Flume, data transformation and integration with Hive, Pentaho Kettle and Informatica, MPP, columnar and in-memory databases including Cloudera Impala and SAP HANA, to semantic analysis using Knime and SPSS and visualizations using Pentaho, Tableau, Microsoft Power BI and various other front end platforms.